Performance of two Improved Particle Swarm Optimization In Dynamic Optimization Environments

Author

Pan, Guanyu ; Dou, Quansheng ; Liu, Xiaohua

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun

Volume

2

fYear

2006

fDate

16-18 Oct. 2006

Firstpage

1024

Lastpage

1028

Abstract

The particle swarm optimization (PSO) was originally designed by Kennedy and Eberhart in 1995 and has been applied successfully in solving various optimization problems. The PSO idea is inspired by natural concepts such as fish schooling, bird flocking and human social relations. Two improved particle swarm optimization were introduced in this paper, which were swarm-core evolutionary particle swarm optimization (SCEPSO) and PSO with simulated annealing (PSOwSA). The performances of PSO, PSOwSA and SECPSO in dynamic environments were discussed, experiments for three type of dynamic optimization model imply that the SCEPSO can track a continuously changing solution reliably and accurately compare with PSO and PSOwSA

Keywords

particle swarm optimisation; simulated annealing; dynamic optimization; simulated annealing; swarm-core evolutionary particle swarm optimization; Computational modeling; Computer science; Design optimization; Educational institutions; Energy states; Particle swarm optimization; Simulated annealing; Solid modeling; Space technology; Temperature; dynamic optimization; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on

Conference_Location

Jinan

Print_ISBN

0-7695-2528-8

Type

conf

DOI

10.1109/ISDA.2006.253752

Filename

4021804